Senior Backend Engineer (Go) - Studio AI

Creative Fabrica; Amsterdam; On-site; EUR 70,000 - 100,000; Full time

Job summary

Creative Fabrica, based in Amsterdam, is seeking a Senior Backend Engineer (Go) to architect their advanced AI generation pipeline. You will design high-concurrency systems to manage heavy AI workloads effectively.

Your role will include orchestrating multimodal workflows, optimizing performance engineering, and developing backend logic for innovative features. A strong background in Go engineering and AWS is required.

Qualifications

• Extensive experience building and scaling Go services in high-traffic SaaS environments.
• Proven ability to design microservices with asynchronous processing.
• Deep knowledge of AWS and experience managing complex compute environments.

Responsibilities

• Design and scale Go-based microservices for AI generations.
• Optimize ConnectRPC services and async processing pipelines.
• Develop backend logic for multimodal orchestration.

Skills

Advanced Go Engineering

Distributed Systems Mastery

Cloud Architecture

Product Rigor

Software Best Practices

Tools

AWS (EKS, S3, Lambda)

Kafka

gRPC/ConnectRPC/GraphQL

Job description

About the role

As a Senior Backend Engineer (Go), you will be the architect of our multimodal generation pipeline. You won't just be building APIs; you’ll be designing the high-concurrency systems that orchestrate "heavy" AI workloads across any media domains. Your goal is to make complex, multi-step AI generation feel instantaneous and reliable for a global audience of creators.

What you will do:

• Orchestrate Multimodal Workflows: Design and scale Go-based microservices that manage the lifecycle of AI generations.
• Performance Engineering: Optimize our ConnectRPC services and async processing pipelines (Kafka + SQS) to handle long-running, resource-intensive inference tasks without compromising platform stability.
• Build the Creative Engine: Develop the backend logic for advanced features like multimodal orchestration.
• Data & Infrastructure: Work with AWS to manage massive data throughput and integrate with high-performance storage and compute clusters.
• Collaborate with AI Researchers: Bridge the gap between raw model outputs and a polished "One Person Studio" user experience.

What you will need:

• Advanced Go Engineering: Extensive experience building and scaling Go services in high-traffic, high-volume SaaS environments.
• Distributed Systems Mastery: Proven ability to design microservices that utilize asynchronous processing (Kafka & SQS) and low-latency communication (gRPC/ConnectRPC/GraphQL).
• Cloud Architecture: Deep knowledge of AWS (EKS, S3, Lambda) and experience managing complex compute environments.
• Product Rigor: A background in building professional-grade creative tools or media-heavy applications.
• Software Best Practices: A quality-first mindset regarding code reviews, testing strategies, and observability.

Nice to have:

• Media Processing Experience: Familiarity with handling varied media types (video transcoding, audio synthesis, vector manipulation).
• AI Infrastructure: Experience with model serving at scale or managing GPU-accelerated workloads.
• Entrepreneurial Mindset: Experience in a fast-paced environment where you help define the product vision and iterate quickly.